Objective: To explore the changes of peripheral leukocyte’s telomere length (LTL) in patients of premature coronary artery disease (PCAD) with inlfuencing factors. Methods: Our research was conducted in 2 sets of groups, by coronary artery condition: PCAD group,n=128 including 88 patients with ACS, 40 with SCAD and Non-CAD group,n=128 subjects; by age status: the age≤30 years, 31-40 years, 41-50 years, 51-60 years had 2, 14, 65, 47 patients in each group respectively. Peripheral LTL was detected by lfuorescent quantitative analysis, the relationship between LTL and PCAD with inlfuencing factors were studied by Spearman correlation analysis. Results: In PCAD group, compared with SCAD patients, ACS patients had more male gender, higher Gensini score, lower T/S ratio and shorter LTL, allP<0.05. Compared with Non-CAD group, PCAD group had decreased T/S ratio (0.88 ± 0.86) vs (1.10 ± 0.57),P<0.05. T/S ratio was negatively related to age in both PCAD group (r=-0.275,P=0.002) and Non-CAD group (r=-0.316,P=0.000). Spearman correlation study presented that in PCAD group, LTL was negatively related to hyperlipidemia (r=-0.415,P=0.049) and diabetes (r=-0.472,P=0.036); multi linear regression analysis indicated that in PCAD group, LTL was negatively related to age (B=-0.023,P=0.038) and in Non-CAD group, LTL was negatively related to age (B=-0.027,P=0.000), smoking (B=-0.278,P=0.012), HDL-C (B=-0.297,P=0.046). Conclusion: PCAD had more male ACS patients with shorter LTL and severer coronary lesions; LTL was negatively related to hyperlipidemia and diabetes, age was an important inlfuencing factor for LTL shortening.

Objective To investigate the impact of the interaction of fasting blood glucose(FBG)and serum uric acid(SUA)on diabetic retinopathy(DR).Methods A total of 306 diabetes mellitus(DM)patients diagnosed and re-ceived comprehensive ophthalmic examination in the First Affiliated Hospital of Gannan Medical University from January 2019 to January 2021 were selected.According to the presence or absence of DR,these patients were divided into the DR group(178 patients)and the non-DR(NDR)group(128 patients).The general clinical data of patients in the two groups were compared.The least absolute shrinkage and selection operator(LASSO)regression method and multivariate Logistic regression analysis were used to screen the independent influencing factors of DR in DM patients,and the odds ratio of risk factors was calculated.The sensitivity analysis of the results was performed using the E-value method.The interaction of FBG and SUA on DR in DM patients was analyzed by an additive interaction model.The Nomogram model to predict DR in DM patients was constructed and verified internally.The receiver operating characteristic curve(ROC)was used to evalu-ate the effects of FBG,SUA and both FBG and SUA on DR in DM patients.Results Compared with the NDR group,the course of DM in the DR group was significantly longer,the proportion of patients with history of oral medication was signif-icantly lower,the proportion of patients with history of insulin therapy was significantly higher,and the levels of total cho-lesterol,triglyceride,low-density lipoprotein cholesterol,high-density lipoprotein cholesterol,blood urea nitrogen,serum creatinine,SUA and FBG were significantly higher(all P＜0.05).The history of insulin therapy,course of DM≥9.66 years,TG≥2.07 mmol·L-1,SUA ≥ 297.73 μmol·L-1 and FBG ≥8.92 mmol·L-1 were the risk factors for DR in DM pa-tients,while the history of oral medication was the protective factor for DR in DM patients.The Nomogram model based on the above independent risk factors was accurate in predicting the occurrence of DR in DM patients.SUA and FBG had inter-active effects on DR in DM patients.The value of SUA-FBG interaction in the diagnosis of DR was greater than that of both alone.Conclusion SUA≥ 297.73 μmol·L-1 and FBG ≥8.92 mmol·L-1 are the risk factors for DR in DM patients.The value of interaction of FBG and SUA in the diagnosis of DM accompanied by DR is greater than that of both alone.